Large Quantitative Models (LQMs)

LQMs are AI models that incorporate quantum equations to accurately simulate molecular behavior and predict material properties

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LQMs go beyond Large Language Models (LLMs) by modeling real-world systems using principles of physics, chemistry, biology, and mathematics

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LQMs enable rapid, high-accuracy digital simulations, reducing R&D cycles for new materials from years to months or weeks

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These models can search vast chemical spaces and generate molecules with desired properties, supporting generative chemistry applications

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LQMs produce synthetic data from simulations, which is used to further train and improve their predictive capabilities

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In alloy discovery, LQMs helped identify five high-performing alloys from 7,000+ candidates, reducing weight and use of conflict minerals

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For batteries, LQMs cut end-of-life prediction time by 95% and improved accuracy, potentially reducing battery development time by up to four years

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For more details visit Govindhtech.com

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